eDiscovery & Document Review

Natural Language Discovery Queries

Search documents using natural language queries instead of Boolean operators, reducing search iteration time by 50-70%.

Time Saved

50-70% reduction in search iteration

Accuracy

More comprehensive than keyword search

The Problem

✗Boolean search limitations
✗Missed documents from keyword variations
✗Time crafting perfect searches
✗Difficulty finding conceptual matches
✗Search training for teams

How Claude Helps

Interprets natural language queries, searches across document sets, finds conceptual matches, returns relevant results, and enables conversational refinement.

Step-by-Step Workflow

Organize documents

Organize documents in Projects

Describe what you're looking for

Describe what you're looking for in plain language

Review results

Review results returned by Claude

Refine query conversationally

Refine query conversationally for better results

Identify key documents

Identify key documents from refined results

Example Prompt

Search our case documents for:

"Communications where John Smith discusses concerns about exceeding the license limits, or where anyone mentions that we might need to buy more licenses"

I'm looking for evidence that defendant knew they were over-using the software before we notified them.

Please find:
1. Direct statements about license concerns
2. Indirect references to usage problems
3. Emails mentioning "audit" or "compliance" in the license context
4. Any communications with the vendor about licensing

For each result, tell me:
- Document name
- Relevant excerpt
- Why it matches what I'm looking for
- How useful it is (High/Medium/Low)